Towards Adaptive Enterprises Using Digital Twins

Vinay Kulkarni, Tony Clark

Research output: Chapter in Book/Report/Conference proceedingConference publication

Abstract

Modern enterprises are large complex systems operating in highly dynamic environments thus requiring to respond quickly to a variety of change drivers. Moreover, they are systems of systems wherein understanding is available in localized contexts only and that too is typically partial and uncertain. With the overall system behaviour hard to know a-priori and conventional techniques for system-wide analysis either lacking in rigour or defeated by the scale of the problem, the current practice often exclusively relies on human expertise for monitoring and adaptation. We outline a knowledge-guided simulation-Aided data-driven model-based evidence-backed approach to make enterprises adaptive. The approach hinges on the concept of Digital Twin-a set of relevant models that are amenable to analysis and simulation. We describe the core modeling and model processing infrastructure developed, and early stage explorations of its application to problems where the mechanistic world view holds. We argue similar benefits are possible for problem spaces involving human actors as well.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication RCIS 2019 - IEEE 13th International Conference on Research Challenges in Information Science: Towards a Design Science for Information Systems
EditorsManuel Kolp, Jean Vanderdonckt, Monique Snoeck, Yves Wautelet
PublisherIEEE
ISBN (Electronic)9781728148441
DOIs
Publication statusPublished - 21 Oct 2019
Event13th IEEE International Conference on Research Challenges in Information Science, RCIS 2019 - Brussels, Belgium
Duration: 29 May 201931 May 2019

Publication series

NameProceedings - International Conference on Research Challenges in Information Science
Volume2019-May
ISSN (Print)2151-1349
ISSN (Electronic)2151-1357

Conference

Conference13th IEEE International Conference on Research Challenges in Information Science, RCIS 2019
CountryBelgium
CityBrussels
Period29/05/1931/05/19

Keywords

  • Actors
  • Adaptation
  • Design Control
  • Enterprise Information Systems
  • Enterprise Modeling
  • Simulation, Decision Making

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